42 citations · 86 across the 5 of their papers we have counts for
5 papers
Hubble constant constraint using 117 FRBs with a more accurate probability density function for
Jiaming Zhuge, Marios Kalomenopoulos, Bing Zhang
Fast radio bursts (FRBs) are among the most mysterious astronomical transients. Due to their short durations and cosmological distances, their dispersion measure (DM) - redshift ($…
Separating repeating fast radio bursts using the minimum spanning tree as an unsupervised methodology
C. R. García, Diego F. Torres, Jia-Ming Zhu-Ge +1
Fast radio bursts (FRBs) represent one of the most intriguing phenomena in modern astrophysics. However, their classification into repeaters and non-repeaters is challenging. Here,…
Machine learning classification of CHIME fast radio bursts -- I. Supervised methods
Jia-Wei Luo, Jia-Ming Zhu-Ge, Bing Zhang
Observationally, the mysterious fast radio bursts (FRBs) are classified as repeating ones and apparently non-repeating ones. While repeating FRBs cannot be classified into the non-…
Identifying the physical origin of gamma-ray bursts with supervised machine learning
Jia-Wei Luo, Fei-Fei Wang, Jia-Ming Zhu-Ge +3
The empirical classification of gamma-ray bursts (GRBs) into long and short GRBs based on their durations is already firmly established. This empirical classification is generally…
Machine learning classification of CHIME fast radio bursts: II. Unsupervised Methods
Jia-Ming Zhu-Ge, Jia-Wei Luo, Bing Zhang
Fast radio bursts (FRBs) are one of the most mysterious astronomical transients. Observationally, they can be classified into repeaters and apparently non-repeaters. However, due t…